Cytokine treatment of NK cells results in alterations in multiple cellular responses that include cytotoxicity, cytokine production, proliferation, and chemotaxis. To understand the molecular mechanisms underlying these responses, microarray analysis was performed and the resulting gene expression patterns were compared between unstimulated, IL-2, IL-2 plus IL-12, and IL-2 plus IL-18-stimulated NK92 cells. RNase protection assays and RT-PCR confirmed microarray predictions for changes in mRNA expression for nine genes involved in cell cycle progression, signal transduction, transcriptional activation, and chemotaxis. Multiprobe RNase protection assay also detected changes in the expression of CCR2 mRNA, a gene that was not imprinted on the microarray. We subsequently expanded our search for other chemokine receptor genes absent from the microarray and found an IL-2- and IL-12-dependent decrease in CXCR3 receptor mRNA expression in NK92 cells. A detailed analysis of CXCR3 expression in primary NK cells revealed that an IL-2 and an IL-12 together significantly decreased the CXCR3 receptor mRNA and receptor surface expression by 6 and 24 h of treatment, respectively. This decrease in receptor expression was associated with a significant reduction in chemotaxis in the presence of IFN-γ-inducible protein-10. The decline in CXCR3 mRNA was due to transcriptional and posttranscriptional mechanisms as the addition of actinomycin D to IL-2- and IL-12-treated NK92 slightly altered the half-life of the CXCR3 mRNA. Collectively, these data suggest that IL-2 and IL-12 directly affect NK cell migratory ability by rapid and direct down-regulation of chemokine receptor mRNA expression.
Stony coral tissue loss disease (SCTLD) has been causing significant whole colony mortality on reefs in Florida and the Caribbean. The cause of SCTLD remains unknown, with the limited concurrence of SCTLD-associated bacteria among studies. We conducted a meta-analysis of 16S ribosomal RNA gene datasets generated by 16 field and laboratory SCTLD studies to find consistent bacteria associated with SCTLD across disease zones (vulnerable, endemic, and epidemic), coral species, coral compartments (mucus, tissue, and skeleton), and colony health states (apparently healthy colony tissue (AH), and unaffected (DU) and lesion (DL) tissue from diseased colonies). We also evaluated bacteria in seawater and sediment, which may be sources of SCTLD transmission. Although AH colonies in endemic and epidemic zones harbor bacteria associated with SCTLD lesions, and aquaria and field samples had distinct microbial compositions, there were still clear differences in the microbial composition among AH, DU, and DL in the combined dataset. Alpha-diversity between AH and DL was not different; however, DU showed increased alpha-diversity compared to AH, indicating that, prior to lesion formation, corals may undergo a disturbance to the microbiome. This disturbance may be driven by Flavobacteriales, which were especially enriched in DU. In DL, Rhodobacterales and Peptostreptococcales–Tissierellales were prominent in structuring microbial interactions. We also predict an enrichment of an alpha-toxin in DL samples which is typically found in Clostridia. We provide a consensus of SCTLD-associated bacteria prior to and during lesion formation and identify how these taxa vary across studies, coral species, coral compartments, seawater, and sediment.
Multilocus isoenzyme electrophoresis was used to screen 47 field isolates of Yersinia ruckeri for electrophoretic variation at 15 enzyme loci. Only four electrophoretic types were observed, thus indicating that the genetic structure of Y. ruckeri is clonal. Forty-two isolates were of one electrophoretic type, a reflection of the low amount of genetic diversity extant in this species. Although sorbitol fermentation has been considered to be indicative of a second biotype, no significant gene frequency differences were found between the group of 20 isolates that readily used sorbitol as the sole carbon source and the group of 27 that did not.
Isolates of Flexihacter psychrophila were obtained from chinook salmon Oncorhvnchus tshuwytscha and coho salmon O. kisntch that had previously sustained epizootics of coldwater disease. The pathogen was readily isolated from kidney and mucus of convalescent tish. The organisms were relatively inert in most standard microbiological media but were structurally and serologicalfy homogenous by examination of whole cell protein lysates by sodium dodecyl sulfate polyacrylamide gel clectrophoresis. In contrast to the homogeneity observed in phenotypic and serologic assays, the isolates studied elaborated varied ribotypcs. All isolates produced a single rDNA spacer amplification product of about 240 base pairs.
There have been over 507 million cases of COVID-19, the disease caused by the severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2), resulting in 6 million deaths
globally. Wastewater surveillance has emerged as a valuable tool in understanding
SARS-CoV-2 burden in communities. The National Wastewater Surveillance System (NWSS)
partnered with the United States Geological Survey (USGS) to implement a high-frequency
sampling program. This report describes basic surveillance and sampling statistics as
well as a comparison of SARS-CoV-2 trends between high-frequency sampling 3–5
times per week, referred to as USGS samples, and routine sampling 1–2 times per
week, referred to as NWSS samples. USGS samples provided a more nuanced impression of
the changes in wastewater trends, which could be important in emergency response
situations. Despite the rapid implementation time frame, USGS samples had similar data
quality and testing turnaround times as NWSS samples. Ensuring there is a reliable
sample collection and testing plan before an emergency arises will aid in the rapid
implementation of a high-frequency sampling approach. High-frequency sampling requires a
constant flow of information and supplies throughout sample collection, testing,
analysis, and data sharing. High-frequency sampling may be a useful approach for
increased resolution of disease trends in emergency response.
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